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1.
Front Immunol ; 15: 1421432, 2024.
Article in English | MEDLINE | ID: mdl-39136013

ABSTRACT

Introduction: Advanced cutaneous melanoma is a skin cancer characterized by a poor prognosis and high metastatic potential. During metastatic spread, melanoma cells often undergo dedifferentiation toward an invasive phenotype, resulting in reduced expression of microphthalmia-associated transcription factor (MITF)-dependent melanoma antigens and facilitating immune escape. Tumor Necrosis Factor (TNF) is known to be a key factor in melanoma dedifferentiation. Interestingly, accumulating evidence suggests that TNF may play a role in melanoma progression and resistance to immunotherapies. Additionally, TNF has been identified as a potent regulator of sphingolipid metabolism, which could contribute to melanoma aggressiveness and the process of melanoma dedifferentiation. Methods: We conducted RNA sequencing and mass spectrometry analyses to investigate TNF-induced dedifferentiation in two melanoma cell lines. In vitro experiments were performed to manipulate sphingolipid metabolism using genetic or pharmacologic alterations in combination with TNF treatment, aiming to elucidate the potential involvement of this metabolism in TNF-induced dedifferentiation. Lastly, to evaluate the clinical significance of our findings, we performed unsupervised analysis of plasma sphingolipid levels in 48 patients receiving treatment with immune checkpoint inhibitors, either alone or in combination with anti-TNF therapy. Results: Herein, we demonstrate that TNF-induced melanoma cell dedifferentiation is associated with a global modulation of sphingolipid metabolism. Specifically, TNF decreases the expression and activity of acid ceramidase (AC), encoded by the ASAH1 gene, while increasing the expression of glucosylceramide synthase (GCS), encoded by the UGCG gene. Remarkably, knockdown of AC alone via RNA interference is enough to induce melanoma cell dedifferentiation. Furthermore, treatment with Eliglustat, a GCS inhibitor, inhibits TNF-induced melanoma cell dedifferentiation. Lastly, analysis of plasma samples from patients treated with immune checkpoint inhibitors, with or without anti-TNF therapy, revealed significant predictive sphingolipids. Notably, the top 8 predictive sphingolipids, including glycosphingolipids, were associated with a poor response to immunotherapy. Discussion: Our study highlights that ceramide metabolism alterations are causally involved in TNF-induced melanoma cell dedifferentiation and suggests that the evolution of specific ceramide metabolites in plasma may be considered as predictive biomarkers of resistance to immunotherapy.


Subject(s)
Cell Dedifferentiation , Ceramides , Drug Resistance, Neoplasm , Immune Checkpoint Inhibitors , Melanoma , Tumor Necrosis Factor-alpha , Humans , Melanoma/metabolism , Melanoma/drug therapy , Melanoma/immunology , Ceramides/metabolism , Tumor Necrosis Factor-alpha/metabolism , Cell Line, Tumor , Immune Checkpoint Inhibitors/therapeutic use , Immune Checkpoint Inhibitors/pharmacology , Skin Neoplasms/metabolism , Skin Neoplasms/drug therapy , Skin Neoplasms/pathology , Skin Neoplasms/immunology , Male , Glucosyltransferases/metabolism , Glucosyltransferases/genetics , Sphingolipids/metabolism , Acid Ceramidase/metabolism , Acid Ceramidase/genetics , Female , Middle Aged , Aged
2.
J Lipid Res ; 65(8): 100584, 2024 Jun 24.
Article in English | MEDLINE | ID: mdl-38925252

ABSTRACT

Measurements of sphingolipid metabolism are most accurately performed by LC-MS. However, this technique is expensive, not widely accessible, and without the use of specific probes, it does not provide insight into metabolic flux through the pathway. Employing the fluorescent ceramide analogue NBD-C6-ceramide as a tracer in intact cells, we developed a comprehensive HPLC-based method that simultaneously measures the main nodes of ceramide metabolism in the Golgi. Hence, by quantifying the conversion of NBD-C6-ceramide to NBD-C6-sphingomyelin, NBD-C6-hexosylceramides, and NBD-C6-ceramide-1-phosphate (NBD-C1P), the activities of Golgi resident enzymes sphingomyelin synthase 1, glucosylceramide synthase, and ceramide kinase (CERK) could be measured simultaneously. Importantly, the detection of NBD-C1P allowed us to quantify CERK activity in cells, a usually difficult task. By applying this method, we evaluated the specificity of commonly used sphingolipid inhibitors and discovered that 1-phenyl-2-decanoylamino-3-morpholino-1-propanol, which targets glucosylceramide synthase, and fenretinide (4HPR), an inhibitor for dihydroceramide desaturase, also suppress CERK activity. This study demonstrates the benefit of an expanded analysis of ceramide metabolism in the Golgi, and it provides a qualitative and easy-to-implement method.

3.
Nat Chem Biol ; 2024 Apr 25.
Article in English | MEDLINE | ID: mdl-38664587
5.
Mol Pharmacol ; 105(3): 118-120, 2024 Feb 15.
Article in English | MEDLINE | ID: mdl-38360837

ABSTRACT

Long thought to be structural components of cell membranes, sphingolipids (SLs) have emerged as bioactive molecules whose metabolism is tightly regulated. These bioactive lipids and their metabolic enzymes have been implicated in numerous disease states, including lysosomal storage disorders, multiple sclerosis, inflammation, and cancer as well as metabolic syndrome and obesity. In addition, the indications for many of these lipids to potentially serve as biomarkers for disease continue to emerge with increasing metabolomic and lipidomic studies. The implications of these studies have, in turn, led to the examination of SL enzymes and their bioactive lipids as potential therapeutic targets and as markers for therapeutic efficacy. SIGNIFICANCE STATEMENT: Many sphingolipids (SLs) and their metabolizing enzymes have been implicated in disease. This perspective highlights the potential for SLs to serve as therapeutic targets and diagnostic markers and discusses the implications for the studies and reviews highlighted in this Special Section on Therapeutic Implications for Sphingolipids in Health and Disease.


Subject(s)
Neoplasms , Sphingolipids , Humans , Sphingolipids/chemistry , Sphingolipids/metabolism , Neoplasms/therapy , Obesity , Cell Membrane/metabolism
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